update with HDC

Author: clun

examples/src/main/java/QuickStartHCD.java

@@ -36,20 +36,20 @@ public static void main(String[] args) {
 
         // Build a token in the form of Cassandra:base64(username):base64(password)
         String token = new UsernamePasswordTokenProvider(cassandraUserName, cassandraPassword).getToken();
-        System.out.println("01/12 - Creating Token: " + token);
+        System.out.println("1/7 - Creating Token: " + token);
 
         // Initialize the client
         DataAPIClient client = new DataAPIClient(token, builder().withDestination(HCD).build());
-        System.out.println("02/12 -Connected to Data API");
+        System.out.println("2/7 - Connected to Data API");
 
         // Create a default keyspace
         ((DataAPIDatabaseAdmin) client
                 .getDatabase(dataApiUrl)
                 .getDatabaseAdmin()).createNamespace(keyspaceName, NamespaceOptions.simpleStrategy(1));
-        System.out.println("03/12 -Keyspace '" + keyspaceName + "'created ");
+        System.out.println("3/7 - Keyspace '" + keyspaceName + "'created ");
 
         Database db = client.getDatabase(dataApiUrl, keyspaceName);
-        System.out.println("04/12 -Connected to Database");
+        System.out.println("4/7 - Connected to Database");
 
         // Create a collection with Vector embeddings OPEN AI
         Collection<Document> collectionLyrics =  db.createCollection(collectionName, CollectionOptions.builder()
@@ -58,7 +58,7 @@ public static void main(String[] args) {
                 .vectorize(openAiProvider, openAiModel)
                 .build(),
                 new CommandOptions<>().embeddingAPIKey(openAiKey));
-        System.out.println("05/12 -Collection created with OpenAI embeddings");
+        System.out.println("5/7 - Collection created with OpenAI embeddings");
 
         // Insert some documents
         collectionLyrics.insertMany(
@@ -69,15 +69,15 @@ public static void main(String[] args) {
                 new Document(6).append("band", "Dire Straits").append("song", "Romeo And Juliet").vectorize("She's singing, Hey la, my boyfriend's back"),
                 new Document(7).append("band", "Dire Straits").append("song", "Romeo And Juliet").vectorize("You shouldn't come around here singing up at people like that"),
                 new Document(8).append("band", "Dire Straits").append("song", "Romeo And Juliet").vectorize("Anyway, what you gonna do about it?"));
-        System.out.println("06/12 -Collection populated");
+        System.out.println("6/7 - Collection populated");
 
         // Find one document
         Optional<Document> doc = collectionLyrics.findOne(
                 eq("band", "Dire Straits"),
                 new FindOneOptions()
                         .sort("You shouldn't come around here singing up at people like tha")
                         .includeSimilarity());
-        System.out.println("07/12 -Found document: " + doc);
+        System.out.println("7/7 - Found document: " + doc);
     }
 
 }